Assessment of light pollution risk level

Abstract

Artificial light has both positive and negative effects, affecting different sites in different ways. The level of light pollution is influenced by the level of local development, population, biodiversity, geography and climate. Therefore, it is important to assess the risk level of light pollution and to study the impact of different interventions to reduce light pollution in different locations. In this paper, four different types of representative locations in China were selected for calculation using the LPRL assessment model. Protected land locations have the lowest L1 values. Urban communities have the highest LPRL of L7. Rural and urban communities have LPRLs of L2 and L5, respectively. the results show that for rural communities, SI works best. It increased LPRL from L2 to L1. however, SII and SIII had no effect on LPRL. For urban communities, SIII had a significant effect in that it increased LPRL from L7 to L5. Therefore, it was necessary to focus on this aspect to develop the most effective intervention strategy for an urban community in Hangzhou, and a 1-page flyer was created to promote the strategy at this site.